Telemonitoring System for Turbidity and Water pH for Draining and Automatic Chlorine Provision in Smartphone-Based Swimming Pools

Authors

  • Kalam Achmad Nabila State Polytechnic of Malang
  • Aisah Aisah State Polytechnic of Malang
  • Abdul Rasyid State Polytechnic of Malang

DOI:

https://doi.org/10.33795/jartel.v12i1.256

Keywords:

ESP32, pH Sensor, Turbidity Sensor, Ultrasonic Sensor, Waterflow Sensor

Abstract

Swimming is an activity that popular. However without realized, the water of swimming pools have a not good enough quality, so that it becomes a medium for the transmission of various diseases in water. Monitoring quality of swimming pool water is a sanitation effort, namely by providing liquid chlorine to reduce organic substances and as disinfection against microorganisms. With this problem, the authors conducted research on telemonitoring system of turbidity and ph of water for draining and providing automatic chlorine in smartphone-based swimming pools. The system applied to a miniature swimming pool consisting of four sensors, namely pH sensor, turbidity sensor, ultrasonic sensor, waterflow sensor, the four sensors will send data to ESP32 to be processed according to the system. After ESP32 has finished processing it is then sent to firebase and an application on a smartphone to make water monitoring and control easier. The test results can be concluded that system designed using ESP32 as a microcontroller will process data from the pH sensor, turbidity sensor, waterflow sensor and ultrasonic sensor. Then the results of pH data have highest pH value of 7.9 and lowest of 6.9. Furthermore, results of the turbidity sensor data have a value of 0 NTU with highest ADC of 3827. The drain is automatically divided into 2, namely monitoring and controlling. Furthermore, the quality of WiFi network tested using Wireshark when carrying out data transmission process in terms of delay has average value of 0.188389435, packet loss is 1.178 and throughput is 7428 Kb/s.

References

D. Herawati and A. Yuntarso, “Penentuan Dosis Kaporit Sebagai Desinfektan Dalam Menyisihkan Konsentrasi Ammonium pada Air Kolam Renang,” J. Sain Heal., vol. 1, no. 2, pp. 13–22, 2017.

Menteri Kesehatan Republik Indonesia, “Peraturan Menteri Kesehatan Republik Indonesia Nomor 32 Tahun 2017 Tentang Standar Baku Mutu Kesehatan Lingkungan Dan Persyaratan Kesehatan Air Untuk Keperluan Higiene Sanitasi, Kolam Renang, Solus Per Aqua dan Pemandian Umum,” Peratur. Menteri Kesehat. Republik Indones., pp. 1–20, 2017.

I. N. Putra, “Rancang Bangun Sistem Monitoring Deteksi Dini,” vol. 2, no. 2, pp. 190–195, 2018.

S. I. Alkadri and Y. Chandra, “Sistem Otomatisasi Sirkulasi dan Penggantian air Kolam Menggunakan Arduino Uno untuk Peternakan Ikan di Sukabangun Kabupaten Ketapang,” Energi & Kelistrikan, vol. 11, no. 2, pp. 171–179, 2019, doi: 10.33322/energi.v11i2.760.

D. Prafitri and A. B. Saputra, “Prototipe Sistem Pendeteksi Tingkat Kekeruhan dan PH Air Berbasis Mikrokontroler Arduino,” vol. 12, no. 2, 2020.

C. Henricus et al., “Rancang Bangun Prototype Sistem Penguras Kolam Renang Berbasis Iot ‘ Sistem Dan Prototype Penguras Kolam Renang ’ of Things ( IoT ). Hal ini sangat relevan menggunakan media pengendali seperti terintegerasi dengan Web dan Telegram . persentase kekeruhan a,” vol. 6, pp. 226–231, 2021.

Maruf.shidiq, “Pengertian Internet of Things (IoT),” Departemen Teknik Elektro dan Informatika, Sekolah Vokasi, Universitas Gadjah Mada, 2018. https://otomasi.sv.ugm.ac.id/2018/06/02/pengertian-internet-of-things-iot/.

A. Nurbaeti, M. Kusumawardani, and H. Darmono, “Design and Build a Coffee Bean Dryer Based on Internet Of Things”, Jurnal Jaringan Telekomunikasi, vol. 11, no. 2, pp. 74-80, Jun. 2021.

W. Puspitasari and H. Y. Perdana R, "Real-Time Monitoring and Automated Control of Greenhouse Using Wireless Sensor Network: Design and Implementation," 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2018, pp. 362-366, doi: 10.1109/ISRITI.2018.8864377.

R. H. Yoga Perdana, N. Hidayati, A. W. Yulianto, V. Al Hadid Firdaus, N. N. Sari and D. Suprianto, "Jig Detection Using Scanning Method Base On Internet Of Things For Smart Learning Factory," 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2020, pp. 1-5.

H. Darmono, R. H. Y. Perdana, and W. Puspitasari, “Observation of greenhouse condition based on wireless sensor networks,” IOP Conf. Ser. Mater. Sci. Eng., vol. 732, no. 1, 2020.

M. Adib, L. D. Mustafa, and N. Suharto, “Telecontrolling of Cicada Cages Based on IoT (Internet of Things)”, Jurnal Jaringan Telekomunikasi, vol. 11, no. 4, pp. 200-207, Dec. 2021.

D. Sasmoko, H. Rasminto, and A. Rahmadani, “Rancang Bangun Sistem Monitoring Kekeruhan Air Berbasis IoT pada Tandon Air Warga,” J. Inform. Upgris, vol. 5, no. 1, pp. 25–34, 2019, doi: 10.26877/jiu.v5i1.2993.

DFRobot Electronic, “Turbidity sensor SKU: SEN0189,” DFRobot Electron., p. 4, 2018.

D. Farid and A. Putra, “Kajian Literatur – Penggunaan Sensor Waterflow pada Proses Pencampuran Cairan dalam Industri,” pp. 2–5, 2019.

Hasanul Fahmi, “Analisis Qos (Quality of Service) Pengukuran Delay, Jitter, Packet Lost Dan Throughput Untuk Mendapatkan Kualitas Kerja Radio Streaming Yang Baik,” J. Teknol. Inf. dan Komun., vol. 7, no. 2, pp. 98–105, 2018.

R. Wulandari, “Analisis Qos (Quality Of Service) Pada Jaringan Internet (Studi Kasus?: Upt Loka Uji Teknik Penambangan Jampang Kulon – Lipi),” J. Tek. Inform. dan Sist. Inf., vol. 2, no. 2, pp. 162–172, 2016, doi: 10.28932/jutisi.v2i2.454.

ETSI, “Tr 101 329 V2.1.1 (1999-06),” Telecommun. Internet Protoc. Harmon. Over Networks, vol. 1, pp. 1–37, 1999.

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Published

2022-03-31

How to Cite

[1]
K. A. Nabila, A. Aisah, and A. Rasyid, “Telemonitoring System for Turbidity and Water pH for Draining and Automatic Chlorine Provision in Smartphone-Based Swimming Pools”, Journal of Telecommunication Network, vol. 12, no. 1, pp. 12-15, Mar. 2022.